by agentrhq · MCP Server · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uv tool install authsome
npx skills add agentrhq/authsome
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 104 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 11 |
| Last Updated | 2026-07-24 |
| Created | 2026-04-16 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~15k |
Credential broker and vault for AI Agents Docs · <a href="htt
These tools work well together with authsome for enhanced workflows:
Looking for a authsome alternative? If you're comparing authsome with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Your own digital life form — local AI companion with persistent memory, IDE workspace, MCP support, and 30+ to
Open-source firewall for AI agents. Policy engine that audits and controls what OpenClaw, Claude Code, Cursor,
Local-first credential manager & validator for red teams / pentest:致力于 ALL IN ONE 的本地凭据管理与验证平台 keyrealm(凭域)。 允
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman
Supercharge AI Agents, Safely
Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-f
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: